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  1. UrbanSound/street_music/109263_009.wav +3 -0
  2. UrbanSound/street_music/113601_005.wav +3 -0
  3. UrbanSound/street_music/115240_004.wav +3 -0
  4. UrbanSound/street_music/115415_002.wav +3 -0
  5. UrbanSound/street_music/124489_005.wav +3 -0
  6. UrbanSound/street_music/124489_008.wav +3 -0
  7. UrbanSound/street_music/132162_014.wav +3 -0
  8. UrbanSound/street_music/149254_002.wav +3 -0
  9. UrbanSound/street_music/149255_000.wav +3 -0
  10. UrbanSound/street_music/149370_000.wav +3 -0
  11. UrbanSound/street_music/155127_000.wav +3 -0
  12. UrbanSound/street_music/155212_014.wav +3 -0
  13. UrbanSound/street_music/155217_000.wav +3 -0
  14. UrbanSound/street_music/155242_001.wav +3 -0
  15. UrbanSound/street_music/164344_002.wav +3 -0
  16. UrbanSound/street_music/165192_020.wav +3 -0
  17. UrbanSound/street_music/165192_021.wav +3 -0
  18. UrbanSound/street_music/171165_009.wav +3 -0
  19. UrbanSound/street_music/171243_005.wav +3 -0
  20. UrbanSound/street_music/171388_009.wav +3 -0
  21. UrbanSound/street_music/171388_014.wav +3 -0
  22. UrbanSound/street_music/171406_006.wav +3 -0
  23. UrbanSound/street_music/172314_001.wav +3 -0
  24. UrbanSound/street_music/172314_013.wav +3 -0
  25. UrbanSound/street_music/172315_027.wav +3 -0
  26. UrbanSound/street_music/185374_000.wav +3 -0
  27. UrbanSound/street_music/191431_000.wav +3 -0
  28. UrbanSound/street_music/194732_018.wav +3 -0
  29. UrbanSound/street_music/194841_003.wav +3 -0
  30. UrbanSound/street_music/194841_020.wav +3 -0
  31. UrbanSound/street_music/21683_005.wav +3 -0
  32. UrbanSound/street_music/39968_004.wav +3 -0
  33. UrbanSound/street_music/39970_000.wav +3 -0
  34. UrbanSound/street_music/42955_007.wav +3 -0
  35. UrbanSound/street_music/49485_001.wav +3 -0
  36. UrbanSound/street_music/49485_007.wav +3 -0
  37. UrbanSound/street_music/66324_002.wav +3 -0
  38. UrbanSound/street_music/74810_001.wav +3 -0
  39. UrbanSound/street_music/74810_011.wav +3 -0
  40. UrbanSound/street_music/74810_019.wav +3 -0
  41. UrbanSound/street_music/76568_005.wav +3 -0
  42. UrbanSound/street_music/76568_011.wav +3 -0
  43. UrbanSound/street_music/83191_005.wav +3 -0
  44. UrbanSound/street_music/89443_005.wav +3 -0
  45. UrbanSound/street_music/93065_000.wav +3 -0
  46. UrbanSound/street_music/96169_009.wav +3 -0
  47. UrbanSound/street_music/98263_005.wav +3 -0
  48. UrbanSound/street_music/99157_004.wav +3 -0
  49. UrbanSound/street_music/99179_005.wav +3 -0
  50. statistic.py +89 -0
UrbanSound/street_music/109263_009.wav ADDED
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UrbanSound/street_music/113601_005.wav ADDED
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UrbanSound/street_music/115240_004.wav ADDED
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UrbanSound/street_music/93065_000.wav ADDED
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statistic.py ADDED
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1
+ #!/usr/bin/env python3
2
+ # -*- coding: utf-8 -*-
3
+
4
+ import os
5
+ import librosa
6
+ from collections import Counter
7
+ from tqdm import tqdm
8
+ import sys
9
+
10
+ def is_leaf_dir(path):
11
+ """判断是否为最原子的子文件夹(无子文件夹)"""
12
+ for item in os.listdir(path):
13
+ if os.path.isdir(os.path.join(path, item)):
14
+ return False
15
+ return True
16
+
17
+
18
+ def get_wav_length(path):
19
+ try:
20
+ y, sr = librosa.load(path, sr=None, mono=True)
21
+ return round(len(y) / sr)
22
+ except Exception as e:
23
+ print(f"读取失败: {path} 错误: {e}")
24
+ return None
25
+
26
+
27
+ def main(noise_root):
28
+ noise_root = os.path.abspath(noise_root)
29
+
30
+ print("扫描所有 leaf(最原子)子文件夹...\n")
31
+ leaf_dirs = []
32
+
33
+ # 遍历 noise 根目录下所有文件夹
34
+ for dataset in os.listdir(noise_root): # MUSAN、DEMAND、ESC50 …
35
+ dataset_path = os.path.join(noise_root, dataset)
36
+ if not os.path.isdir(dataset_path):
37
+ continue
38
+
39
+ # 深度遍历,找所有最原子的子文件夹
40
+ for root, dirs, files in os.walk(dataset_path):
41
+ if is_leaf_dir(root):
42
+ leaf_dirs.append(root)
43
+
44
+ print("发现的 leaf 文件夹:")
45
+ for d in leaf_dirs:
46
+ print(" -", d)
47
+
48
+ print("\n开始统计...\n")
49
+
50
+ all_results = {}
51
+
52
+ for leaf in leaf_dirs:
53
+ counter = Counter()
54
+ wav_count = 0
55
+
56
+ # 遍历该 leaf 下的所有 wav
57
+ for f in tqdm(os.listdir(leaf), desc=f"[{leaf}]"):
58
+ if not f.lower().endswith(".wav"):
59
+ continue
60
+
61
+ wav_count += 1
62
+ path = os.path.join(leaf, f)
63
+ L = get_wav_length(path)
64
+ if L is not None:
65
+ counter[L] += 1
66
+
67
+ all_results[leaf] = (wav_count, counter)
68
+
69
+ # 打印结果
70
+ print("\n============== 统计结果 ==============\n")
71
+
72
+ for leaf, (cnt, dist) in all_results.items():
73
+ print(f"📁 {leaf}")
74
+ print(f" WAV 数量:{cnt}")
75
+ print(" 时长分布(秒):")
76
+ for L in sorted(dist):
77
+ print(f" {L:2d}s : {dist[L]}")
78
+ print()
79
+
80
+ print("统计完成!")
81
+
82
+
83
+ if __name__ == "__main__":
84
+ if len(sys.argv) < 2:
85
+ print("用法: python stats_leaf_folders.py <noise根目录>")
86
+ print("示例: python stats_leaf_folders.py noise")
87
+ sys.exit(1)
88
+
89
+ main(sys.argv[1])